Accurate mathematical modelling of decoherence effects is invaluable to construct QECCs that work in realistic scenarios. Abstractions that represent the effects of decoherence on quantum information are known as quantum channels. In the context of density matrices, quantum channels are completely-positive, trace-preserving (CPTP) linear maps between spaces of operators [1]}. Generally, these transformations are described via the Choi-Kraus representation as a set of matrices known as Kraus or error operators. Quantum noise models that describe decoherence effects experienced by two-level systems (qubits) in a fairly complete manner depend on the so-called relaxation time, \(T_1\) , and on the dephasing time, \(T_2\) , [1]}. \(T_1\)  and \(T_2\)  are experimentally measurable parameters that provide a nexus between the actual qubits that will be constructed for a quantum processor and the theoretical models that are used to describe how these qubits behave. Previous literature on QECC assumes that \(T_1\)  and \(T_2\)  are fixed parameters, implying that the quantum channels used for noise modelling are static and that their behaviour does not change over time [1]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]}, [16]}, [17]}.
